Demographics details for Washington, IN vs Alameda, CA
Population Overview
Compare main population characteristics in Washington, IN vs Alameda, CA.
| Data | Washington | Alameda |
|---|---|---|
| Population | 12,171 | 76,040 |
| Median Age | 37.0 years | 40.6 years |
| Median Income | $48,255 | $129,917 |
| Married Families | 38.0% | 44.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 3.2 | 4.6 |
Population Comparison: Washington vs Alameda
- The population in Alameda is higher at 76,040, compared to 12,171 in Washington.
- The median age in Alameda is higher at 40.6 years, compared to 37.0 years in Washington.
- Alameda has a higher median income of $129,917, compared to $48,255 in Washington.
- In Alameda, the percentage of married families is higher at 44.0%, compared to 38.0% in Washington.
- Washington has a higher poverty level at 12% compared to 7% in Alameda.
- Alameda has a higher unemployment rate at 4.6% compared to 3.2% in Washington.
Demographics
Demographics Washington vs Alameda provide insight into the diversity of the communities to compare.
| Demographic | Washington | Alameda |
|---|---|---|
| Black | 4 | 7 |
| White | 76 | 37 |
| Asian | Data is updating | 32 |
| Hispanic | 12 | 12 |
| Two or More Races | 8 | 12 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington vs Alameda
- In Alameda, the percentage of Black residents is higher at 7% compared to 4% in Washington.
- Washington has a higher percentage of White residents at 76% compared to 37% in Alameda.
- In Alameda, the Asian population stands at 32%, greater than 0% in Washington.
- The percentage of Hispanic residents is the same in both Washington and Alameda at 12%.
- The percentage of residents identifying as two or more races is higher in Alameda at 12%, compared to 8% in Washington.
- The percentage of American Indian residents is the same in both Washington and Alameda at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Alameda |
|---|---|---|
| Mental Health Not Good | 18.7% | 14.0% |
| Physical Health Not Good | 13.5% | 8.2% |
| Depression | 27.6% | 17.2% |
| Smoking | 23.3% | 8.9% |
| Binge Drinking | 16.3% | 15.5% |
| Obesity | 36.4% | 23.5% |
| Disability Percentage | 16.0% | 10.0% |
Health Statistics Comparison: Washington vs Alameda
- More residents in Washington report poor mental health at 18.7% compared to 14.0% in Alameda.
- Depression is more prevalent in Washington at 27.6% compared to 17.2% in Alameda.
- Smoking is more prevalent in Washington at 23.3% compared to 8.9% in Alameda.
- Binge drinking is more common in Washington at 16.3% compared to 15.5% in Alameda.
- Obesity rates are higher in Washington at 36.4% compared to 23.5% in Alameda.
- Disability percentages are higher in Washington at 16.0% compared to 10.0% in Alameda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Alameda |
|---|---|---|
| No Schooling | 1.3% (163) | 1.1% (864) |
| High School Diploma | 22.8% (2,771) | 7.0% (5,348) |
| Less than High School | 20.2% (2,460) | 6.8% (5,184) |
| Bachelor's Degree and Higher | 9.3% (1,129) | 44.5% (33,855) |
Education Levels Comparison: Washington vs Alameda
- A higher percentage of residents in Washington have no formal schooling at 1.3% compared to 1.1% in Alameda.
- A higher percentage of residents in Washington hold a high school diploma at 22.8% compared to 7.0% in Alameda.
- More residents in Washington have less than a high school education at 20.2% compared to 6.8% in Alameda.
- In Alameda, a larger share of residents have a bachelor's degree or higher at 44.5% compared to 9.3% in Washington.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.